{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 优衣库销售数据分析\n",
    "1. 整体销售情况随着时间的变化是怎么样的？\n",
    "2. 不同产品的销售情况是怎么样的?\n",
    "3. 顾客偏爱哪一种购买方式？\n",
    "4. 销售额和产品成本之间的关系怎么样？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:34.787044Z",
     "start_time": "2020-02-10T15:33:30.374034Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "# 解决中文无法显示问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:34.841092Z",
     "start_time": "2020-02-10T15:33:34.789045Z"
    }
   },
   "outputs": [],
   "source": [
    "# 加载数据\n",
    "UNIQLO = pd.read_csv(\"./23 L2W1-优衣库数据.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据清洗\n",
    "- Store_id门店随机编号id\n",
    "- City门店所在城市\n",
    "- Channel门店所产生的销售渠道\n",
    "- gender_group客户性别\n",
    "- age_group客户年龄段\n",
    "- wkd_ind购买发生的时间\n",
    "- product产品类别\n",
    "- customer客户数量\n",
    "- revenue销售金额\n",
    "- order订单数量\n",
    "- quant购买的产品数量\n",
    "- unit_cost产品成本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:34.861110Z",
     "start_time": "2020-02-10T15:33:34.843094Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 22293 entries, 0 to 22292\n",
      "Data columns (total 12 columns):\n",
      "store_id        22293 non-null int64\n",
      "city            22293 non-null object\n",
      "channel         22293 non-null object\n",
      "gender_group    22293 non-null object\n",
      "age_group       22293 non-null object\n",
      "wkd_ind         22293 non-null object\n",
      "product         22293 non-null object\n",
      "customer        22293 non-null int64\n",
      "revenue         22293 non-null float64\n",
      "order           22293 non-null int64\n",
      "quant           22293 non-null int64\n",
      "unit_cost       22293 non-null int64\n",
      "dtypes: float64(1), int64(5), object(6)\n",
      "memory usage: 2.0+ MB\n"
     ]
    }
   ],
   "source": [
    "# 查看一下数据信息，无缺失值\n",
    "UNIQLO.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:34.886133Z",
     "start_time": "2020-02-10T15:33:34.863111Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "store_id        0\n",
       "city            0\n",
       "channel         0\n",
       "gender_group    0\n",
       "age_group       0\n",
       "wkd_ind         0\n",
       "product         0\n",
       "customer        0\n",
       "revenue         0\n",
       "order           0\n",
       "quant           0\n",
       "unit_cost       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UNIQLO.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:34.913157Z",
     "start_time": "2020-02-10T15:33:34.888136Z"
    }
   },
   "outputs": [],
   "source": [
    "# 删除销售额为负的数据\n",
    "UNIQLO.drop(UNIQLO[UNIQLO['revenue'] < 0].index, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:57:17.858951Z",
     "start_time": "2020-02-10T15:57:17.850944Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Female    14207\n",
       "Male       7967\n",
       "Name: gender_group, dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看性别、年龄情况，发现有Unkown，删除\n",
    "UNIQLO['gender_group'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:58:42.437794Z",
     "start_time": "2020-02-10T15:58:42.430788Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30-34    4426\n",
       "25-29    4224\n",
       "35-39    3690\n",
       "20-24    3345\n",
       "40-44    1954\n",
       ">=60     1574\n",
       "45-49    1095\n",
       "50-54     672\n",
       "<20       660\n",
       "55-59     513\n",
       "Name: age_group, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UNIQLO['age_group'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:58:38.025786Z",
     "start_time": "2020-02-10T15:58:38.017778Z"
    }
   },
   "outputs": [],
   "source": [
    "UNIQLO.drop(UNIQLO[UNIQLO['gender_group'] == 'Unkown'].index, inplace=True)\n",
    "UNIQLO.drop(UNIQLO[UNIQLO['age_group'] == 'Unkown'].index, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 整体销售情况随着时间的变化是怎么样的？\n",
    "题目拆解：\n",
    "\n",
    "数据中与时间有关的字段仅为类别变量wkd_ind代表的Weekday和Weekend，即购买发生的时间是周中还是周末。本题意为分析对比周末和周中与销售有关的数据，包括产品销售数量quant、销售金额revenue、顾客人数customer的情况，可生成柱状图进行可视化。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:27:53.600787Z",
     "start_time": "2020-02-10T16:27:53.469665Z"
    }
   },
   "outputs": [],
   "source": [
    "# 根据revenue、quant和unit_cost计算出profit每件的利润和price每件单价\n",
    "UNIQLO['profit'] = UNIQLO['revenue']/UNIQLO['quant']-UNIQLO['unit_cost']\n",
    "UNIQLO['price'] = UNIQLO['revenue']/UNIQLO['quant']\n",
    "# 根据购买日分组\n",
    "group_week = UNIQLO.groupby('wkd_ind').sum()\n",
    "# 分成两张图进行显示，pic1是顾客数、订单数、销量的对比，pic2是销售额、利润的对比\n",
    "coq = pd.DataFrame(group_week, columns=['customer', 'order', 'quant'])\n",
    "rp = pd.DataFrame(group_week, columns=['revenue', 'profit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:35.678853Z",
     "start_time": "2020-02-10T15:33:35.011246Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x2000 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 生成一个2行1列的画布\n",
    "fig, axes = plt.subplots(\n",
    "    nrows=2,\n",
    "    ncols=1,\n",
    "    figsize=(10, 10),\n",
    "    dpi=200,\n",
    ")\n",
    "# pic1是顾客数、订单数、销量的对比\n",
    "pic1 = coq.plot(\n",
    "    kind='bar',\n",
    "    legend=True,\n",
    "    ax=axes[0],\n",
    ")\n",
    "# pic2是销售额、利润的对比\n",
    "pic2 = rp.plot(\n",
    "    kind='bar',\n",
    "    legend=True,\n",
    "    ax=axes[1],\n",
    "    sharex=True,  # 两个子图共享x轴\n",
    "    rot=0,  # 调整x轴标签的角度为0，水平显示\n",
    ")\n",
    "# 设置两个子图的图例符号\n",
    "pic1.legend(labels=['顾客数', '订单数', '销量'], loc='best')\n",
    "pic2.legend(labels=['销售额', '利润'], fontsize=15, loc='best')\n",
    "plt.xlabel('购买日', fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:35.685859Z",
     "start_time": "2020-02-10T15:33:35.679854Z"
    }
   },
   "outputs": [],
   "source": [
    "# 对比一下工作日和休息日的日均订单\n",
    "# group_week.loc['Weekday']['order']/=5 这样运行会报错，使用以下代码可以取消警告\n",
    "# pd.set_option('mode.chained_assignment', None)\n",
    "group_week.loc['Weekday', 'per_order'] = group_week.loc['Weekday', 'order']/5\n",
    "group_week.loc['Weekend', 'per_order'] = group_week.loc['Weekend', 'order']/5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:35.802967Z",
     "start_time": "2020-02-10T15:33:35.686859Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.bar(\n",
    "    x=group_week.index,\n",
    "    height='per_order',\n",
    "    data=group_week,\n",
    ")\n",
    "plt.legend(['日均订单'], fontsize=15)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:35.809972Z",
     "start_time": "2020-02-10T15:33:35.803967Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "wkd_ind\n",
       "Weekday    0.222004\n",
       "Weekend    0.262456\n",
       "Name: margin, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据利润和销售额计算margin销售利润率\n",
    "group_week['margin'] = group_week['profit']/group_week['revenue']\n",
    "group_week['margin']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 工作日的销售额、顾客数、订单数、销量、销售额、日均订单等数据明显大于双休日\n",
    "### 双休日的销售利润率高出工作日4%"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 不同产品的销售情况是怎么样的?\n",
    "题目拆解：\n",
    "\n",
    "不同产品即指product字段中不同类别的产品，销售情况即为销售额revenue，可生成柱状图进行可视化\n",
    "购买方式只有channel是线上还是线下这一个指标，而顾客可以从不同性别gender_group、年龄段age_group、城市city三个维度进行分解，因此本问即为探究不同性别、年龄段和城市的顾客对线上、线下两种购买方式的偏好，可生成柱状图进行可视化的呈现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:36.325441Z",
     "start_time": "2020-02-10T15:33:35.810973Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c7a9ca388>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 销售额对比\n",
    "sns.barplot(\n",
    "    x='product',\n",
    "    y='revenue',\n",
    "    data=UNIQLO,\n",
    "    estimator=np.sum,  # 数据相加后作图\n",
    "    order=UNIQLO.groupby('product')['revenue'].sum().sort_values(\n",
    "        ascending=False).index,  # 根据产品类型分组，将销售额求和排序\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:36.825896Z",
     "start_time": "2020-02-10T15:33:36.327445Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c7a89e308>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 产品销量对比\n",
    "sns.barplot(\n",
    "    x='product',\n",
    "    y='quant',\n",
    "    data=UNIQLO,\n",
    "    estimator=np.sum,  # 数据相加后作图\n",
    "    order=UNIQLO.groupby('product')['quant'].sum().sort_values(\n",
    "        ascending=False).index,  # 根据产品类型分组，将销量求和排序\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:33:37.901873Z",
     "start_time": "2020-02-10T15:33:37.299326Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c7a933b88>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBWm6QEtIraNiKsjYklE/HNddlFE3BYRZ/VZrqEySZKkTteKFrR3Af+SmbOArSNiPjAqMw8Edo2I3SNiTiNlLairJElS27UioK0EZkTEi4GdgF2AK+vHfgQcBHQ1WPYcEXFy3Tq3ZMWKFc2ovyRJUku1IqDdDOwMfAC4GxgLdNePrQImAxMaLHuOzFyYmbMyc9akSZOasgGSJEmt1IqA9jHgvZn5CeDXwDuB8fVjE+s6PNJgmSRJUsdrRejZFtgnIkYBrwHOZ0N35UxgObC0wTJJkqSON7oFr3EecAlVN+dtwKeBmyLipcBbgAOAbLBMkiSp4zW9BS0zf5yZe2fmxMx8U2auoToBYDFwSGaubrSs2XWVJEkqQSta0J4jMx9iwxmagyqTJEnqdA68lyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKswmBbSIOGioKyJJkqRKQwEtIv6jX9F5TaiLJEmSgNHP92BE7Au8EtgxIo6viycATzS7YpIkSSPVC7WgxQC/VwJHN61GkiRJI9zztqBl5s+Bn0fEnpl5eYvqJEmSNKI9b0Dr4zMRMRcY21tgYJMkSWqORs/ivAbYjaqLs/dHkiRJTdBoC9razPxkU2siSZIkoPGAdlNEXAFcDjwKkJk3Nq1WkiRJI1ijAe0p4NfAq+v7CRjQJEmSmqChgJaZH4+IScD4umjH5lVJkiRpZGsooEXERcAuwLbAY1QtaE73JEmS1ASNnsW5G/BmYBnweuCZptVIkiRphGs0oD0G/BkwCjiKqiVNkiRJTdBoQDsS+A3wt8BewPuaViNJkqQRrtGzON/R5/YyYFfg5qGvjiRJkhptQeudPWArYA4wu2k1kiRJGuEavczGZX3uXhgRX2xSfSRJkka8Ri+z0bfF7CXAy5tTHUmSJDU6Bu3jVNc+A/gRcGVEzHa6J0mSpKHXaEAbA6wBfgYcAowFdsDpniRJkoZcowHtycx8a++diPjPzPxEk+okSZI0ojUa0DIiTgHuAvbBmQQkSZKaptHLbBwNvAiYSzVh+lFNq5EkSdII1+hlNlYC5zW5LpIkSaLxFjRJkiS1iAFNkiSpMAY0SZKkwhjQJEmSCmNAkyRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwrQsoEXEFyPi8Pr2RRFxW0Sc1efxhsokSZI6XUsCWkQcDEzJzO9FxBxgVGYeCOwaEbs3WtaKukqSJLVb0wNaRIwBvgwsj4i3AV3AlfXDPwIOGkTZQM9/ckQsiYglK1asaMIWSJIktVYrWtCOB34FLABeDbwf6K4fWwVMBiY0WPYcmbkwM2dl5qxJkyY1ZQMkSZJaaXQLXuOVwMLM7ImIrwKvBcbXj02kComPNFgmSZLU8VoRepYBu9a3ZwHT2dBdORNYDixtsEySJKnjtaIF7SLg4oiYC4yhGlv2bxHxUuAtwAFAAjc1UCZJktTxmt6ClplrM/OozJydmQdm5r1UIW0xcEhmrs7MNY2UNbuukiRJJWhFC9pzZOZDbDhDc1BlkiRJnc6B95IkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVJi2zMUpjSTz58+np6eHKVOmsGDBgnZXR5I0DBjQpCbr6emhu7u73dWQJA0jdnFKkiQVxoAmSZJUGAOaJElSYRyDJm2C+z6xT8PLPr1qO2A0T6+6d1DrTfvoLzahZpKkTmALmiRJUmEMaJIkSYUxoEmSJBXGMWhSk+0w7hng6fq3JEkvzIAmNdkH93243VWQJA0zdnFKkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhRnd7gqUaP78+fT09DBlyhQWLFjQ7upIkqQRxoA2gJ6eHrq7u9tdDUmSNEK1rIszIiZHxB317Ysi4raIOKvP4w2VSZIkdbpWjkH7B2B8RMwBRmXmgcCuEbF7o2UtrKskSVLbtCSgRcQbgEeBHqALuLJ+6EfAQYMokyRJ6nhND2gRMRb4CPDhumgC0DvAaxUweRBlAz3/yRGxJCKWrFixYug3QJIkqcVa0YL2YeCLmflwff8RYHx9e2Jdh0bLniMzF2bmrMycNWnSpCZUX5IkqbVacRbnG4E3RMT7gVcA04D/AhYDM4F7gPupujBfqEySJL0ALxc1/DU9oGXm7N7bEbEIOAK4KSJeCrwFOADIBsskSdIL8HJRw19LZxLIzK7MXEN1AsBi4JDMXN1oWSvrKkmS1C5tuVBtZj7EhjM0B1UmSZLU6ZyLU5IkqTAjYqqn/T90+aCW3/rBtYwC7ntwbcPrLv3U8ZtQM0mSpOeyBU2SJKkwBjRJkqTCGNAkSZIKY0CTJEkqjAFNkiSpMAY0SZKkwoyIy2xIkjScebmokccWNEmSpMIY0CRJkgpjQJMkSSqMY9AG8MzYCc/6LUmS1EoGtAE8uvuh7a6CJEkawezilCRJKowBTZIkqTAGNEmSpMIY0CRJkgpjQJMkSSqMAU2SJKkwXmZDkqQO4/U8hz8DmiRJHcbreQ5/dnFKkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVBgDmiRJUmEMaJIkSYUxoEmSJBXGgCZJklQYA5okSVJhDGiSJEmFMaBJkiQVxoAmSZJUmNHtroCk9pg/fz49PT1MmTKFBQsWtLs6kqQ+DGjSCNXT00N3d3e7qyFJGoBdnJIkSYWxBU2SRgC7tKXhxYAmdYj9P3T5oJbf+sG1jALue3Btw+su/dTxm1AzlcAubWl4aXoXZ0S8KCJ+GBE/ioirImJsRFwUEbdFxFl9lmuoTJIkqdO1YgzascAFmXko0APMBUZl5oHArhGxe0TMaaSsBXWVJElqu6Z3cWbmF/vcnQQcB3ymvv8j4CDglcCVDZT9tv/zR8TJwMkA06ZNG+LaS5IktV7LxqBFxIHAtsByoHcgxCpgP2BCg2XPkZkLgYUAs2bNyiZUXepIz4yd8KzfGl4ccyh1tpYEtIjYDvgc8A7g74Dx9UMTqbpZH2mwTNIQeXT3Q9tdBUnSRrTiJIGxwDeB0zPzXmApVXclwEyqFrVGyyRJkjpeK1rQ3kPVPXlmRJwJXAK8KyJeCrwFOABI4KYGyiRJkjpe01vQMvNLmbltZnbVP5cBXcBi4JDMXJ2Zaxopa3ZdJalTPTN2Auu23MYxh9Iw0ZYL1WbmQ2w4Q3NQZZKkwXPMoTS8OPBekiSpMAY0SZKkwhjQJEmSCuNk6W0wf/58enp6mDJlCgsWLGh3daSm8H0uSZvOgNYGPT09dHd3v/CC0jDm+1ySNp1dnJIkSYWxBW2I3PeJfRpe9ulV2wGjeXrVvYNab9pHf7EJNZMkScONAU3SiOLYOEnDgQFNUsM6oaXYsXGShgMDmiQNIVvoJA0FA1ob7DDuGeDp+rekTmILnaShYEBrgw/u+3C7qyB1jP0/dPmglt/6wbWMAu57cG3D6y791PGbUDNJ2nQGNElN0UktxZ0w9k7S8GJAk9QUthRL0qbzQrWSJEmFsQVN0ojyzNgJz/otSSUyoEkaUR7d/dCmPn8njb2T1D4GNEkaQo69kzQUDGhazwtsSpIa4fdF8xnQtJ4X2JQkNcLvi+bzLE5JkqTCGNAkSZIKYxdnB3MKHElSo5wxoyy2oEmSJBXGFjSt5wU8JUkqgwFN6zX7Ap6SJKkxBjRJkjQozpjRfAY0SVLH8oKqzeGMGc1nQJMkdSwvqDqydFIgN6BJkqSO0EmB3ICmlumkIxtJUvON5Ot5GtDUMp10ZCOpPUbyF7ZGFi9UK0mSVBhb0LRZnBpEklSKTrrgugFNktSxOukLWy+sky64bkCTJHWsZn9he/KTmsWAJknSJvLkJzWLAU0t49QgkiQ1xoCmlnFqEEnDgSc/qQReZkOSJKkwtqBJkjbbSB0s79ANNYsBTZK02UbqYHmHbqhZDGiSpAE5FktqH8egSZIkFcYWNEnSZnMsljS0DGiSpM3mWCxpaNnFKUmSVBgDmiRJUmEMaJIkSYVxDJokSRqxBnNZmE21KZeTsQVNkiSpMAY0SZKkwhjQJEmSClN8QIuIiyLitog4q911kSRJaoWiA1pEzAFGZeaBwK4RsXu76yRJktRskZntrsNGRcRngWsy8+qImAuMz8xL+i1zMnByfXdP4J4WV7PXDsCDbXrtdnK7Rxa3e2Rxu0cWt7v1ds7MSQM9UPplNiYA3fXtVcB+/RfIzIXAwlZWaiARsSQzZ7W7Hq3mdo8sbvfI4naPLG53WYru4gQeAcbXtydSfn0lSZI2W+mBZylwUH17JrC8fVWRJElqjdK7OL8D3BQRLwXeAhzQ5vo8n7Z3s7aJ2z2yuN0ji9s9srjdBSn6JAGAiNgWeBNwY2b2tLs+kiRJzVZ8QJMkSRppSh+DpjaLiG02cb2xQ12XEkXElu2uw1CKiOfdJ0TE6BdaRsNbROwcEX/yAsuM7f/ej4ipza1Z+9Tv+2G9T+v72Y3KmIjYKiK2joiJETGxz7Jbta+mQy8iXh8RY57n8SL3a8VVqET1P298RLwkIvaKiEMj4tT+//CIeFVEHNDn/tiIeFlEvCsitmt9zYfE/4mIt9fbcnNEXBcR/xkRN0TE8c+z3mcj4rUtq2WLRMSBEXF2n6JzI2KfdtWnCb4WEX/aeyciru33+LHANRHR9+fHEZERcXRrqzo0IuLEiNi6vj2m7446IkZFxBadEkgi4k0RsWtETIiIWzay2HuAYyPi1ohY1Ofnij7LvAr4P32eN4BvRsT29f5y2By4RMSLIqIrIs6IiK/U29LfAmBuq+s2xP6S6rN7H3A/cDXwPuBf6p/lEdE7Lv3fImJaROwB8DzvleFib+CvI+KNEXFjn/f0v9SPF7lfK/0kgaaq33zPZOay+kK4MzLzrDpMvT4zr4qItwIfB9YALwLuBW4C/hvYClhd79C3AHYBXh4RPwWmUJ11uhb4DbACuKZ+3X8FJgNP1VUZB/wiM09qwWYP1nzg9My8ig1n1K5XH3X9B/Ao1fvpR5l5LvA01bYPWxHx18CRwGuA24GLgD8AkyLi1cC5VB/8mfU+/aHMPKpN1d0sdevA3sCFwFYR8XWq9/A+EbEIGAWckZmXAZf1We8NwP8GDs/M77e84pup/jL+X8DFddFJwJ9HRO9nczTw98CLgaOA0/qs982IOAxYTTXjyR9bWfdN9NdUAWwd9f6n3n+NysynImIUcBjwWuCzmflkRLwIWAR8qV5+EvAEsCwiJgM/BX4CPEz1GdkCuKL+KVJEfAqYTvW+PhD4J+BnwFczMyNif+CzbNiHTQMOj4h31vcnAu/OzN+0tOKb50rgFuBsYEvgdGBZZv4jQEQsyq4rMEEAAAu8SURBVMyn623/L+Ah4AfAbODxttR4M9WNKNsCV1EdVFwPXAdckZnHRMQPAErdr43oMWj1P+FzwMFUb8JXAJ8Avg38O/DPwBaZua5efi7wdGZ+q95Bv5jqA7xP/TxPU33gAc4BTszMIwd43cuBv8vMB+v704EPZeb7m7Olmy8iDge2Bp7pUzwGuCozH+mz3K5U2/4K4NdUO4KvZOa/trC6QyoilmXmbvX//03ArsAvgaD6Av8KMAM4OjPf2r6abrqourKPB2ZRHV2fXe+sv5+Zh9Xv98jMZ/qsMw94B3BcZq5uR703V0TsRRW+f0P1fj48M+/rt8wkqi/oA4FvsiGQbAn8kTqQZGaxgQQgInYDrqU6cNwC2JcqlGwBXJ+ZH6tbxd+dmV191lsMfDozv1Hfnwm8mapF6USqfeZfAP8X+Fvgf4Ds+14pTURE1l9+9fa9FtgN2Ckz/7PfsjOpgvmpmflI7wF5Zj7d6npvjog4Ajga2LEuGgcclZn3148vysyuiPgPqiD3/6gOTh6kuszVz6n2Aa9veeU3UVTTQ34a2I7q+2gN1QXv9wTupvruvjAzz+yzzjwK2a+N6Ba0zLwuIv6R6gu3167A4sy8sG5h+3x9NL0rsBOwKiIWAL+i2qGfmJl3RMQ3gF8Ae1G9CZYA746IcRtebv0R9mjguIjoDTbbU+D/ot4xfZ7qaOoHVC2IZ1EFsGeotv/vIuJgqmC6DliTme+IiK9Q7bj/HOiUo4DtqVpQV1MF+MP7PV7sF9ILycw1EXEJVYvht4H5EXEoG1rQngTeGhH0+eJ9CXBZ706s972emU+0fAM23eFUIePdwHHAuIj4DdAb0qZQdX+8kSqQ3EYVao6iXyBpbbU3yWeBYzPzlvp/dU2/ILY18EGqfdzoPgFkYmZ+ow7pW2Tmz+v1X0M1td5LqPYPf0rVyjYaOAO4s1UbtgmOjYh9gZdR7bO/B/yOKnz393GqyzCcC3ygvv8Hqn3jcPI01XfUA1S9PxOB3SPi0vrxmRHxQarekABOAQ7MzLURcW1mvrENdd4smfnbiPgLqn3a56l6vl5C1TN0JtX/9WMRsUWJ+7XiQkEr1f3Pf0L1xbod1Rv2oPqxXTLzvcChdTfne6j+wQ9R7ayXULUMPRkRJ1L17z9J1c15f/1cs4BLqK7fdg5VSwvABVQ7/l491N2fJcnMnwMH160o/xLVmJvXU3Vj/FVm/hNAREyj6iI4miqkQTW32QqqVrdlLa98c/ySantmUV1EuX9AG7bqsSdfotq2U6gCyN3Av1K97/+NqoXtmIjoDSPTgcfr93+vC6muXzhcXMqGz/4OVF13t2bmPICI+EEnBJK61eckqi/ngR4fRfX5/SJVEP10HWASmF6H9AD+MSKWUe3L1gIfpdrf3UG1XziUKrQ+0v81CrOc6vP8G+C6zPzziNgR2Csi5vS2+EfEGcDUej7oUyLiAuDJzBxu4Qyq/+X/R9UKfATVd9B44ObMPBsgInaialH+M+CdmfmsYSr1+2SLzHyKYSCqsZAXUbV+/yNwPtUBVzfVd/0XKHi/NqIDWmYeO1B5RLwY+E5EzKDaAd1LdbS8HzCJ6ktre+A/IuJ8qjfAxcAcqp38QmAq1Q59PvD5zPxKRGwPfLfPS32Rqrn5bfXrArw9M1cM7ZYOmTOo+uWfAv4sIu7KzGup3uBfpAqxj1P15U/IzMfro/JH21XhoZSZN0REcfO1DZG/BH7Esw9Y3g/8mOqL/TuZeTEbxmpRH20vz8xvtb66Q6b3c7oT1YHXT6kOynpPjtgjIl7O8A8kh1ONtVsXEeuoujVn1tsZVC3gX87MiyJibmae2rtiRPysX0vbPvVznUzVejiNqqt3J6pxjO+j2gc+1IoNG6yIeBlVnXcF9qAaN3w7VavYMuAnUZ3FeD7V36a3m+tjwFeBl7e80kMjqbotv00VNv6Zfq3+mflfEbEzMBa4JCL+WK/3ioi4hup98q163eHgWKp92IupGkKWU4W1FcCrqbbtz+p9G1DWfm1EB7SIOJNqQGz/wb2jqZqDf03V/TGB6oN8C1W33ZbARzPzsrrZ/3VUH+Ztqbr9jqN6Ez/c73m3oBqUOS8iuqjGgEyn6ute3qepuTj10eVRVF9oq4G7gLMi4vfAO6majvcEjoiIO6jGK0DV4lT6l9eIl5kXQTXOsh5zdgFwOVWrytXAwog4ebiNu3khmfnTiLiHquv+CqpQ8feZ+X/r8ZSHUX0pDdtAApCZ36XPwWEdQK7elG6rzPxF3TLxS6qehL+g2vc9RdUq8zqqlsh/GoKqN8MUqvreSnXAsUdm9j37fjTV//VnmXlxRFxbj9FcR3Wg/s8Rccow/CwEVQPDKfX9aXVZ9WD1nujdpif7hfJrM/PNLarnkOkNXvVwjQ9TBew1VK2Dy+sW8mKHpozogJaZ51B1PT5LbwsasA1Vc3DvGSzjqVq89gGuqndSp2fmzRHxO6rQsjXVB/khqjfCs15ygPsDlRUjIk6gGkD7RqoBtE/0eWxLYGeqMNpDdYbMjVQnTLy7XmwKz/07DGe9O7QBPzsRMar3pJJhKur/+Q6ZeXkd2L4YEZ+laoW5qs+yYyjs/bqJ5lCdmX0dVdfPByLi36gGwm/VAYFkIA1dYqnu0hroshO9Ze8APpKZ10d1RvdnMvPEAZYvRmbeQnWwDaw/06+vS4Av9GlV2Rm4ATgzM8+tD+xvjYi/ysw7WlLpobEFsDtVdz5UXfVbsOHEttnAG6jG43WasVSf0fnAXwFfj4gnGLg1tJj92ogOaPW4imd47uDu0QCZuYqqL753+Z2AczPzXf2e5ziqbtB7qZpSd6Dacf1t/5cE3hIRN1MNuL+sLvtm3ZS8O9VZM0WI6lISb6V6E58EXB/V5Ri2oHrDbwOcnJkf7bPO0VRHpfdFxPXA7zNzeavrPpQyc7c+d3t35hdQDbSFqvUFqg/1O6mOsoerCVRdIF/rc5/M/EDfhSLiM1RntL6tpbUbYvX7+e+o5vo9mCp4fYnqQOwdVK3GMIwDyUaMYsN7eb2IGF8/1tuSdDPw9QHWH8OGL/ZF9e8JVPuF4WZlRNxG1Sq6JdX3wR2w/jJC91Cdwfl7qA7sozrT8ddtqu+mGgN8KjMvBah7bB4CToyIA6mC6In1cv3fG5t0wfKCjK+vNnBn/ZmfW7eg/bDvCQKl7ddG9GU2NqZuQbs6M1/bp2wqVWva13sHx/d5bBzVmLRvA39D1c//pcw8ql7vc5n59oiYApxfd3EeTNUXvmtdtrxuhr01+1y2YrjpdzaMVLSI+EtgUmb+Q31/IRsuQzCT6qy3G6laUN5CdQD2gczMqK4B9qnMfL4LNktFq1uHxwBPZeYf61bTUZn5ZJurNmQiYnxmDrtruRnQBiFiw7VzJHUGP9eSSmRAkyRJKoxzcUqSJBXGgCZJklQYA5okvYCImBfVHH2DWWd6fb1DSRo0A5okNcd0oKvNdZA0THmSgKSOFhFnU03ntBXVFC9zgWuprqx/QmbuWy/3OeAVVDOAHE81A8aVVJfWeIoN14YjMy+tW8e6qCbP/ny97lP18x8DnFCvuxw4quAp3CQVyBY0SSPBTZn5eqr5Ft9GNedo9glnhwHjMvNgqusZ/j3VDAP3ZuYhVBeh3pjDgdGZ+TrgH4D962slngZcmpldhjNJgzWiZxKQNGIsrX/fSdX1uBr4bJ/HXw7cXt9eDLydqiWtd07ZJQM85/j6959STchMZn4/IjzwlbTZ3JFIGgleXf9+JbAMeKzfjBd3Ab0TZh9Q37+PatLs3vUAnqSacBqqmQWgmvLnVQARcSzwv+vyx6mnA4uIgeazlKSNMqBJGgleVc+9+2Lg+/0fzMwfAI/X8+S+A/gUVVfnHvV6e9SLXgccHhFfYMNclN8DMiJuBN4FfKYuvwPYMyJuohqTJkkN8yQBSR2tPklgUWYuanNVJKlhBjRJkqTC2MUpSZJUGAOaJElSYQxokiRJhTGgSZIkFcaAJkmSVJj/H1sI4YVKzTmjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 不同性别购买产品销量情况对比\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.barplot(\n",
    "    x='product',\n",
    "    y='quant',\n",
    "    data=UNIQLO,\n",
    "    estimator=np.sum,  # 数据相加后作图\n",
    "    hue='gender_group',\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. T恤的销量和销售额是最高的\n",
    "2. 毛衣和裙子的销量及销售额偏低\n",
    "3. 女性的购买量明显大于男性\n",
    "4. 存在男性买裙子的现象"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 顾客偏爱哪一种购买方式？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:41:22.736190Z",
     "start_time": "2020-02-10T15:41:22.550022Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x19c7d367e88>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 性别与购买方式的对比\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.countplot(\n",
    "    y='gender_group',\n",
    "    hue='channel',\n",
    "    data=UNIQLO,\n",
    ")\n",
    "plt.xlabel('计数', fontsize=15)\n",
    "plt.ylabel('性别', fontsize=15)\n",
    "plt.yticks(fontsize=15)\n",
    "plt.legend(fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T15:59:11.850516Z",
     "start_time": "2020-02-10T15:59:11.167897Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c06886cc8>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 产品与购买方式对比\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.barplot(\n",
    "    x='product',\n",
    "    y='quant',\n",
    "    data=UNIQLO,\n",
    "    estimator=np.sum,  # 数据相加后作图\n",
    "    hue='channel',\n",
    "    order=UNIQLO['product'].value_counts().index,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:05:45.080780Z",
     "start_time": "2020-02-10T16:05:44.830553Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), <a list of 10 Text yticklabel objects>)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 年龄和购买方式\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.countplot(\n",
    "    y='age_group',\n",
    "    hue='channel',\n",
    "    data=UNIQLO,\n",
    "    order=UNIQLO['age_group'].value_counts().sort_values(ascending=False).index\n",
    ")\n",
    "plt.legend(fontsize=15)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.yticks(fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:08:02.320466Z",
     "start_time": "2020-02-10T16:08:02.109274Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c09d48448>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 地区和购买方式\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.countplot(\n",
    "    y='city',\n",
    "    hue='channel',\n",
    "    data=UNIQLO,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 女性的线上购买和线下购买数都比男性多\n",
    "2. 线下交易是更为普遍的购买方式，顾客更喜欢线下购买衣物商品，但是存在一定的线上购买现象\n",
    "3. T恤作为热卖产品是线下交易中销量最多的产品\n",
    "4. 30-34岁的顾客在优衣库的线下购买次数最多\n",
    "5. 深证、杭州、北京、南京和成都地区没有线上交易的记录，很大可能是数据缺失的原因\n",
    "6. 广州是唯一一个线上购买数超过线下购买数的城市"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 销售额和产品成本之间的关系怎么样？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:11:07.553758Z",
     "start_time": "2020-02-10T16:11:07.321546Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c09dd2108>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 查看利润区间\n",
    "sns.distplot(UNIQLO['profit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:14:45.450726Z",
     "start_time": "2020-02-10T16:14:45.208504Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 产品的利润分布\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.boxplot(\n",
    "    x='profit',\n",
    "    y='product',\n",
    "    data=UNIQLO\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:23:10.821871Z",
     "start_time": "2020-02-10T16:23:10.525601Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 城市利润分布\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.boxplot(\n",
    "    x='profit',\n",
    "    y='city',\n",
    "    data=UNIQLO\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:32:40.150124Z",
     "start_time": "2020-02-10T16:32:40.141116Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>unit_cost</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>price</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.503461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>unit_cost</td>\n",
       "      <td>0.503461</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              price  unit_cost\n",
       "price      1.000000   0.503461\n",
       "unit_cost  0.503461   1.000000"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算皮尔森相关性系数\n",
    "# 0.8-1.0 极强相关\n",
    "# 0.6-0.8 强相关\n",
    "# 0.4-0.6 中等程度相关\n",
    "# 0.2-0.4 弱相关\n",
    "# 0.0-0.2 极弱相关或无相关\n",
    "# UNIQLO[['revenue', 'unit_cost']].corr()  # 0.148371\n",
    "UNIQLO[['price', 'unit_cost']].corr()  # 0.503461"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-10T16:34:04.798030Z",
     "start_time": "2020-02-10T16:34:04.567821Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c1026c3c8>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(\n",
    "    UNIQLO[['price','unit_cost']].corr()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 大部分产品的利润分布在0-50元\n",
    "2. 牛仔裤、运动型产品、T恤、当季新品、裙子、毛衣都存在亏本销售的情况，其中牛仔裤的负利润占比最高\n",
    "3. T恤和配件的盈利波动较大，T恤的盈利波动范围是-49 ~ 200元，配件的盈利波动是-29 ~ 210元\n",
    "4. 配件、裙子是盈利能力较高的产品\n",
    "5. 各城市的盈利能力相当\n",
    "6. 定价和成本有中等程度相关，即销售额和产品成本之间存在一定的相关性，成本越高，销售额越高"
   ]
  }
 ],
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